Instructions to use NLPclass/bert_textclassification_persiandata2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/bert_textclassification_persiandata2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/bert_textclassification_persiandata2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_textclassification_persiandata2") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_textclassification_persiandata2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- SeyedAli/Persian-Text-Emotion
language:
- fa
text classification persian data to 6 class
bert model=HooshvareLab/bert-base-parsbert-uncased
dataset=SeyedAli/Persian-Text-Emotion